@STRING{nips = {Advances in Neural Information Processing Systems}}
@STRING{ieee-tsp = {IEEE Transactions on Signal Processing}}
@STRING{ieee-spm = {IEEE Signal Processing Magazine}}
@STRING{ieee-tnn = {IEEE Transactions on Neural Networks}}
@STRING{ieee-tnnls = {IEEE Transactions on Neural Networks and Learning Systems}}
@STRING{ieee-mlsp = {IEEE International Workshop on Machine Learning for Signal Processing (MLSP)}}
@STRING{ieee-icassp = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)}}


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@incollection{csato2002sparserepresentation,
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@book{sayed2003fundamentals,
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@inproceedings{vanvaerenbergh2010fixed,
  author = {Van Vaerenbergh, Steven and Santamar\'ia, Ignacio and Liu, Weifeng and Pr\'incipe, Jos\'e C.},
  title = {Fixed-Budget Kernel Recursive Least-Squares},
  booktitle = {2010 } # ieee-icassp,
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}

@incollection{dekel2006forgetron,
  author = {Dekel, Ofer and Shalev-Shwartz, Shai and Singer, Yoram},
  title = {The Forgetron: A Kernel-Based Perceptron on a Fixed Budget},
  booktitle = nips # { 18},
  editor = {Y. Weiss and B. Sch\"{o}lkopf and J. Platt},
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@inproceedings{vanvaerenbergh2006sliding,
  title = {A sliding-window kernel {RLS} algorithm and its application to nonlinear channel identification},
  author = {Van Vaerenbergh, Steven and V\'ia, Javier and Santamar\'ia, Ignacio},
  booktitle = {2006 } # ieee-icassp,
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}

@book{haykin2001adaptive,
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@article{kivinen2004online,
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  number = {8},
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}

@article{liu2009information,
  title = {An information theoretic approach of designing sparse kernel adaptive filters},
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}

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  title = {Optimal brain damage},
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@article{sayed1994state,
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@book{scholkopf2001learning,
  title = {Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond},
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}

@book{shawetaylor2004kernel,
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@article{liu2008kernel,
  author = {Liu, Weifeng and Pokharel, Puskal P. and Pr\'incipe, Jos\'e C.},
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}

@article{huang2005generalized,
  author = {Huang, Guang-Bin and Saratchandran, Paramasivan and Sundararajan, Narashiman},
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  year = {2005},
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  number = {1},
  month = jan,
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  issn = {1045-9227}
}

@article{vanvaerenbergh2007nonlinear,
  author = {Van Vaerenbergh, Steven and V\'ia, J. and Santamar\'ia, Ignacio},
  title = {Nonlinear System Identification using a New Sliding-Window Kernel {RLS} Algorithm},
  journal = {Journal of Communications},
  year = {2007},
  volume = {2},
  pages = {1-8},
  number = {3},
  month = may,
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  timestamp = {2007.04.30}
}

@article{liu2009extended,
  author = {Liu, Weifeng and Park, Il and Wang, Yiwen and Pr\'incipe, Jos\'e C.},
  journal = ieee-tsp,
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  year = {2009},
  month = oct,
  volume = {57},
  number = {10},
  pages = {3801 -3814},
  doi = {10.1109/TSP.2009.2022007},
  ISSN = {1053-587X}
}

@inproceedings{lazaro2011bayesian,
  author = {L\'azaro-Gredilla, Miguel and Van Vaerenbergh, Steven and Santamar\'ia, Ignacio},
  booktitle = {2011 } # ieee-mlsp,
  title = {A {Bayesian} approach to tracking with kernel recursive least-squares},
  year = {2011},
  month = sep,
  volume = {},
  number = {},
  pages = {1-6},
  doi = {10.1109/MLSP.2011.6064585},
  ISSN = {1551-2541},
}

@article{vanvaerenbergh2012kernel,
  title = {Kernel Recursive Least-Squares Tracker for Time-Varying Regression},
  author = {Van Vaerenbergh, Steven and L{\'a}zaro-Gredilla, Miguel and Santamar{\'i}a, Ignacio},
  journal = ieee-tnnls,
  year = {2012},
  month = aug,
  volume = {23},
  number = {8},
  pages = {1313--1326},
  keywords = {},
  doi = {10.1109/TNNLS.2012.2200500},
  ISSN = {2162-237X},
}

@book{vapnik1995nature,
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  publisher = {Springer-Verlag New York, Inc.},
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}

@article{chen2012quantized,
  author = {Chen, Badong and Zhao, Songlin and Zhu, Pingping and Pr\'incipe, Jos\'e C.},
  journal = ieee-tnnls,
  title = {Quantized Kernel Least Mean Square Algorithm},
  year = {2012},
  month = jan,
  volume = {23},
  number = {1},
  pages = {22--32},
}

@article{richard2009online,
  author = {Richard, C{\'e}dric and Bermudez, Jos{\'e} Carlos M. and Honeine, Paul},
  journal = ieee-tsp,
  title = {Online Prediction of Time Series Data With Kernels},
  year = {2009},
  month = mar,
  volume = {57},
  number = {3},
  pages = {1058--1067},
}

@inproceedings{kuh2001adaptive,
  title = {Adaptive kernel methods for {CDMA} systems},
  author = {Kuh, Anthony},
  booktitle = {International Joint Conference on Neural Networks (IJCNN 2001)},
  volume = {4},
  pages = {2404--2409},
  year = {2001},
  organization = {IEEE}
}

@article{theodoridis2011adaptive,
  author = {Theodoridis, Sergios and Slavakis, Konstantinos and Yamada, Isao},
  journal = ieee-spm,
  title = {Adaptive Learning in a World of Projections},
  year = {2011},
  month = jan,
  volume = {28},
  number = {1},
  pages = {97 -123},
  doi = {10.1109/MSP.2010.938752},
  ISSN = {1053-5888},
}

@inproceedings{vanvaerenbergh2012estimation,
  author = {Van Vaerenbergh, Steven and Santamar{\'\i}a, Ignacio and L{\'a}zaro-Gredilla, Miguel},
  title = {Estimation of the Forgetting Factor in Kernel Recursive Least Squares},
  booktitle = {2012 } # ieee-mlsp,
  year = {2012},
  month = sep,
  doi = {10.1109/MLSP.2012.6349749}, 
}


@inproceedings{richard2012closed,
  author = {Richard, C\'edric. and Bermudez, Jose-Carlos M.},
  booktitle = {2012 Asilomar Conference on Signals, Systems \& Computers ({ASILOMAR})}, 
  title = {Closed-form conditions for convergence of the {Gaussian} kernel-least-mean-square algorithm},
  year = {2012},
  pages = {1797-1801},
  doi = {10.1109/ACSSC.2012.6489344}, 
  ISSN = {1058-6393},
}

@article{parreira2012stochastic, 
  author = {Parreira, Wemerson D. and Bermudez, Jos{\'E} Carlos M. and Richard, C\'edric and Tourneret, Jean-Yves}, 
  journal = ieee-tsp,
  title = {Stochastic Behavior Analysis of the {Gaussian} Kernel Least-Mean-Square Algorithm}, 
  year = {2012}, 
  volume = {60}, 
  number = {5}, 
  pages = {2208-2222}, 
  doi = {10.1109/TSP.2012.2186132}, 
  ISSN = {1053-587X},
}

@article{yukawa2012multikernel,
  author = {Yukawa, Masahiro},
  journal = ieee-tsp,
  title = {Multikernel Adaptive Filtering},
  year = {2012},
  volume = {60},
  number = {9},
  pages = {4672-4682},
  doi = {10.1109/TSP.2012.2200889},
  ISSN = {1053-587X},
}

@inproceedings{vanvaerenbergh2013comparative,
  author = {Van Vaerenbergh, Steven and Santamar{\'\i}a, Ignacio},
  booktitle = {2013 IEEE Digital Signal Processing (DSP) Workshop and IEEE Signal Processing Education (SPE)},
  title = {A Comparative Study of Kernel Adaptive Filtering Algorithms},
  year = {2013},
  address = {Napa, CA, USA},
  month = jul,
  doi={10.1109/DSP-SPE.2013.6642587},
}

@article{slavakis2008online,
  author = {Slavakis, Konstantinos and Theodoridis, Sergios and Yamada, Isao}, 
  journal= ieee-tsp,
  title = {Online Kernel-Based Classification Using Adaptive Projection Algorithms},
  year = {2008},
  volume = {56},
  number = {7},
  pages = {2781-2796}, 
  doi = {10.1109/TSP.2008.917376},
  ISSN = {1053-587X},
}

@inproceedings{pang2013low, 
  author = {Pang, Yeyong and Wang, Shaojun and Peng, Yu and Fraser, Nicholas J. and Leong, Philip H.W.}, 
  booktitle = {2013 International Conference on Field-Programmable Technology (FPT)}, 
  title = {A low latency kernel recursive least squares processor using FPGA technology}, 
  year = {2013}, 
  month = {Dec}, 
  pages = {144-151}, 
  doi = {10.1109/FPT.2013.6718345},
}
@article{zhao2013fixed,
  title = {Fixed budget quantized kernel least-mean-square algorithm},
  journal = {Signal Processing},
  volume = {93},
  number = {9},
  pages = {2759--2770},
  year = {2013},
  ISSN = {0165-1684},
  doi = {10.1016/j.sigpro.2013.02.012},
  author = {Zhao, S. and Chen, B. and Zhu, P. and Pr\'incipe, Jos\'e C.},
}
@article{liu2009information, 
  author = {Liu, W. and Park, I. and Principe, J.C.},
  journal = ieee-tnn,
  title = {An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters},
  year = {2009},
  volume = {20},
  number = {12},
  pages = {1950-1961},
  doi = {10.1109/TNN.2009.2033676},
  ISSN = {1045-9227},
  month = {Dec},
}

@inbook{vanvaerenbergh2014online,
	title = {Online Regression with Kernels},
	booktitle = {Regularization, Optimization, Kernels, and Support Vector Machines},
	number = {Machine Learning \& Pattern Recognition Series},
	year = {2014},
	pages = {477-501},
	publisher = {Chapman and Hall/CRC},
	organization = {Chapman and Hall/CRC},
	chapter = {21},
	address = {New York},
	author = {Van Vaerenbergh, Steven and Santamar\'ia, Ignacio},
  ISBN = {9781482241396},
}

@article{tuia2014explicit,
  title = {Explicit recursive and adaptive filtering in reproducing kernel Hilbert spaces},
  author = {Tuia, Devis and Mu{\~n}oz-Mar{\'\i}, Jordi and Rojo-{\'A}lvarez, Jos{\'e} Luis and Mart{\'\i}nez-Ram{\'o}n, Manel and Camps-Valls, Gustavo},
  journal = ieee-tnnls,
  volume = {25},
  number = {7},
  pages = {1413--1419},
  year = {2014},
  doi = {10.1109/TNNLS.2013.2293871},
  ISSN = {2162-237X},
  month = jul,
  publisher={IEEE}
}

@article{li2016kernel,
  title = {The Kernel Adaptive Autoregressive-Moving-Average Algorithm},
  author = {Li, Kan and Pr{\'\i}ncipe, Jos{\'e} C},
  journal = ieee-tnnls,
  volume = {27},
  number = {2},
  pages = {334--346},
  year = {2016},
  doi = {10.1109/TNNLS.2015.2418323},
  ISSN = {2162-237X},
  month = feb,
  publisher = {IEEE}
}

@inproceedings{takeuchi2016better,
  title = {A better metric in kernel adaptive filtering},
  author = {Takeuchi, Airi and Yukawa, Masahiro and M{\"u}ller, Klaus-Robert},
  booktitle = {Proceedings of the 24th European Signal Processing Conference (EUSIPCO-2016)},
  address = {Budapest, Hungary},
  month = sep,
  year = {2016}
}

@article{yukawa2016does,
  title = {Why Does a Hilbertian Metric Work Efficiently in Online Learning With Kernels?},
  author = {Yukawa, Masahiro and M{\"u}ller, Klaus-Robert},
  journal = {IEEE Signal Processing Letters},
  volume = {23},
  number = {10},
  pages = {1424--1428},
  year = {2016},
  doi = {10.1109/TNNLS.2015.2418323}, 
  ISSN = {2162-237X}, 
  month = feb,
  publisher = {IEEE}
}

@inproceedings{rzepka2012fixed,
  title = {Fixed-budget kernel least mean squares},
  author = {Rzepka, Dominik},
  booktitle = {Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies \& Factory Automation (ETFA 2012)},
  pages = {1--4},
  year = {2012},
  organization = {IEEE}
}

@inproceedings{vanvaerenbergh2016relationship,
  author = {Van Vaerenbergh, Steven and Fernandez-Bes, Jesus and Elvira, V{\'\i}ctor},
  booktitle = {2016 } # ieee-mlsp,
  title = {On the Relationship between Online {Gaussian} Process Regression and Kernel Least Mean Squares Algorithms},
  year = {2016},
  publisher = {IEEE},
  address = {Salerno, Italy},
  month = sep
}
